Diffusion networks outperform consensus networks

Abstract

Adaptive networks consist of a collection of nodes that interact with each other on a local level and diffuse information across the network to solve estimation and inference tasks in a distributed manner. In this work, we compare the performance of two distributed estimation strategies: diffusion and consensus. Diffusion strategies allow information to… (More)
DOI: 10.1109/SSP.2012.6319691

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